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Your search keyword '"Kao, Han-Ying"' showing total 22 results
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22 results on '"Kao, Han-Ying"'

2. Diagnosis from Bayesian Networks with Fuzzy Parameters – A Case in Supply Chains

Author

Kao, Han-Ying, Huang, Chia-Hui, Hsu, Chu-Ling, Huang, Chiao-Ling, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bellavista, Paolo, editor, Chang, Ruay-Shiung, editor, Chao, Han-Chieh, editor, Lin, Shin-Feng, editor, and Sloot, Peter M. A., editor

Published
2010
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3. Interval Regression Analysis with Soft-Margin Reduced Support Vector Machine

Author

Huang, Chia-Hui, Kao, Han-Ying, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Chien, Been-Chian, editor, Hong, Tzung-Pei, editor, Chen, Shyi-Ming, editor, and Ali, Moonis, editor

Published
2009
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4. Intelligent Decision Support Based on Influence Diagrams with Rough Sets

Author

Huang, Chia-Hui, Kao, Han-Ying, Li, Han-Lin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, An, Aijun, editor, Stefanowski, Jerzy, editor, Ramanna, Sheela, editor, Butz, Cory J., editor, Pedrycz, Witold, editor, and Wang, Guoyin, editor

Published
2007
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11. Supply chain diagnostics with dynamic Bayesian networks

Author

Kao, Han-Ying, Huang, Chia-Hui, and Li, Han-Lin

Subjects
Logistics -- Analysis
Abstract

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.cie.2005.06.002 Byline: Han-Ying Kao (a), Chia-Hui Huang (b), Han-Lin Li (b) Abstract: This paper proposes a dynamic Bayesian network to represent the cause-and-effect relationships in an industrial supply chain. Based on the Quick Scan, a systematic data analysis and synthesis methodology developed by . [A supply chain diagnostic methodlogy: Determing the vector of change. Computers and Industrial Engineering, 43, 135-157], a dynamic Bayesian network is employed as a more descriptive mechanism to model the causal relationships in the supply chain. Dynamic Bayesian networks can be utilized as a knowledge base of the reasoning systems where the diagnostic tasks are conducted. We finally solve this reasoning problem with stochastic simulation. Author Affiliation: (a) Department of Marketing and Distribution Management, Hsuan Chuang University, 48 Hsuan Chuang Road, Hsinchu 300, Taiwan, ROC (b) Institute of Information Management, National Chiao-Tung University, Ta-Hsueh Road 1001, Hsinchu 300, Taiwan, ROC Article History: Received 16 December 2002; Accepted 2 June 2005

Published
2005

21. Assessment and classification of service learning: a case study of CS/EE students.

Author

Kao HY, Wang YT, Huang CH, Lai PL, and Chen JY

Subjects
Bayes Theorem, Curriculum, Engineering education, Humans, Medical Informatics education, Universities classification, Engineering classification, Learning, Medical Informatics classification, Students classification, Surveys and Questionnaires classification
Abstract

This study investigates the undergraduate students in computer science/electric engineering (CS/EE) in Taiwan to measure their perceived benefits from the experiences in service learning coursework. In addition, the confidence of their professional disciplines and its correlation with service learning experiences are examined. The results show that students take positive attitudes toward service learning and their perceived benefits from service learning are correlated with their confidence in professional disciplines. Furthermore, this study designs the knowledge model by Bayesian network (BN) classifiers and term frequency-inverse document frequency (TFIDF) for counseling students on the optimal choice of service learning.

Published
2014
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22. Analyzing big data with the hybrid interval regression methods.

Author

Huang CH, Yang KC, and Kao HY

Subjects
Algorithms, Artificial Intelligence, Neural Networks, Computer, Pattern Recognition, Automated, Support Vector Machine, Regression Analysis
Abstract

Big data is a new trend at present, forcing the significant impacts on information technologies. In big data applications, one of the most concerned issues is dealing with large-scale data sets that often require computation resources provided by public cloud services. How to analyze big data efficiently becomes a big challenge. In this paper, we collaborate interval regression with the smooth support vector machine (SSVM) to analyze big data. Recently, the smooth support vector machine (SSVM) was proposed as an alternative of the standard SVM that has been proved more efficient than the traditional SVM in processing large-scale data. In addition the soft margin method is proposed to modify the excursion of separation margin and to be effective in the gray zone that the distribution of data becomes hard to be described and the separation margin between classes.

Published
2014
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